{"url":"/dataset/odms","name":"ODMS","full_name":"Object Depth via Motion and Segmentation","description_markdown":"**ODMS** is a dataset for learning Object Depth via Motion and Segmentation. ODMS training data are configurable and extensible, with each training example consisting of a series of object segmentation masks, camera movement distances, and ground truth object depth. As a benchmark evaluation, the dataset provides four ODMS validation and test sets with 15,650 examples in multiple domains, including robotics and driving.\n\nSource: [https://github.com/griffbr/ODMS](https://github.com/griffbr/ODMS)\nImage Source: [https://github.com/griffbr/ODMS](https://github.com/griffbr/ODMS)","description_withheld":null,"homepage":"https://github.com/griffbr/ODMS","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/learning-object-depth-from-camera-motion-and","title":"Learning Object Depth from Camera Motion and Video Object Segmentation","first_author":"Brent A. Griffin","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"},{"name":"Video Object Segmentation","url":"/task/video-object-segmentation","datasets_with_task":"/datasets/task/video-object-segmentation"},{"name":"Video Semantic Segmentation","url":"/task/video-semantic-segmentation","datasets_with_task":"/datasets/task/video-semantic-segmentation"}],"languages":[],"variants":["ODMS"],"data_loaders":[{"repo":"https://github.com/griffbr/ODMS","url":"https://github.com/griffbr/ODMS","frameworks":[]}],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}